code: def test_fp16_padding(self):
      nested_lists = [[1, 2, 3], [4, 5]]
      padded_lists = pad(nested_lists, pad_token=0)
      expected_lists = [[1, 2, 3], [4, 5, 0]]
      self.assertEqual(padded_lists, expected_lists)
  
      precision.FP16_ENABLED = True
      padded_lists = pad(nested_lists, pad_token=0)
      expected_lists = [
          [1, 2, 3, 0, 0, 0, 0, 0],
          [4, 5, 0, 0, 0, 0, 0, 0],
      ]
      self.assertEqual(padded_lists, expected_lists)
      precision.FP16_ENABLED = False
  
imports: import unittest
  from pytext.common.constants import RawExampleFieldName, Stage
  from pytext.data import Batcher, Data, PoolingBatcher
  from pytext.data.data import RowData
  from pytext.data.sources import RawExample
  from pytext.data.sources.data_source import SafeFileWrapper
  from pytext.data.sources.tsv import TSVDataSource
  from pytext.data.tensorizers import LabelTensorizer, TokenTensorizer
  from pytext.data.utils import pad
  from pytext.utils import precision
  from pytext.utils.test import import_tests_module
label_desc: Use image node_id 9 for calling the DataTest obj's underlying member method code with example usage: obj.test_fp16_padding() without return types